I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
A Generative Learning Approach for Spatio-temporal Modeling..:
, In:
ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
,
Xia, Rong
;
Xiao, Yong
;
Li, Yingyu
.. - p. 1-6 , 2020
Link:
https://doi.org/10.1109/ICC40277.2020.9149319
RT T1 <cTitle>ICC 2020 - 2020 IEEE International Conference on Communications (ICC)</cTitle>: T1 <Title>A Generative Learning Approach for Spatio-temporal Modeling in Connected Vehicular Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9149319&Exemplar=1&LAN=DE A1 Xia, Rong A1 Xiao, Yong A1 Li, Yingyu A1 Krunz, Marwan A1 Niyato, Dusit YR 2020 SN 1938-1883 K1 Computational modeling K1 Wireless communication K1 Edge computing K1 Servers K1 Correlation K1 Adaptation models K1 Wireless sensor networks K1 Connected vehicle K1 latency modeling K1 Variational Autoencoder K1 C-V2X SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICC40277.2020.9149319 DO https://doi.org/10.1109/ICC40277.2020.9149319 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
